2 Senior AI Ml Engineer Deep Learning jobs in whatjobs
Senior AI/ML Engineer - Deep Learning
Posted 20 days ago
Job Viewed
Job Description
Our client, a leader in AI innovation, is looking for a highly skilled and experienced Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge, fully remote team. You will be instrumental in designing, developing, and deploying advanced machine learning models and artificial intelligence solutions that drive groundbreaking products and services. This role requires a deep theoretical understanding of AI/ML algorithms, robust practical experience with deep learning frameworks, and the ability to translate complex business problems into AI-driven solutions. You will work collaboratively with a team of researchers, engineers, and product managers to push the boundaries of AI technology.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, train, and deploy state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research into new AI/ML techniques and algorithms, evaluating their potential applications.
- Preprocess and analyze large, complex datasets to extract valuable insights for model training.
- Implement and optimize machine learning algorithms for scalability and performance.
- Collaborate with software engineers to integrate AI/ML models into production systems and applications.
- Develop and maintain robust ML pipelines and MLOps practices.
- Evaluate and benchmark model performance, identifying areas for improvement and iteration.
- Stay abreast of the latest advancements and research in AI, machine learning, and deep learning.
- Document technical specifications, algorithms, and experimental results.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Participate in code reviews and provide constructive feedback.
- Communicate technical findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in developing and deploying AI/ML models, with a strong emphasis on deep learning.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with MLOps, model deployment, and monitoring is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Published research in top-tier AI conferences or journals is a significant plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
This advertiser has chosen not to accept applicants from your region.
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Senior AI/ML Engineer - Deep Learning
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge research and development team. This fully remote position offers the opportunity to work on groundbreaking projects, pushing the boundaries of artificial intelligence. The ideal candidate will possess a deep understanding of machine learning algorithms, statistical modeling, and advanced programming skills, with a proven ability to design, develop, and deploy sophisticated deep learning models. You will contribute to solving complex problems and driving innovation through AI.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications.
- Conduct research into state-of-the-art AI/ML techniques and identify opportunities for their application.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
- Process, clean, and analyze large datasets to train and evaluate machine learning models.
- Optimize model performance for efficiency, accuracy, and scalability.
- Deploy machine learning models into production environments, working closely with software engineering teams.
- Monitor and maintain deployed models, making necessary updates and improvements.
- Stay abreast of the latest advancements in AI, deep learning, and related fields.
- Document research findings, model architectures, and implementation details.
- Mentor junior AI/ML engineers and contribute to the team's knowledge base.
- Present technical findings and project updates to both technical and non-technical audiences.
- Ensure responsible and ethical AI development practices are followed.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python, and expertise in ML libraries like TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model development and deployment.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, comfortable working in a fully remote team environment.
- Experience with MLOps principles and practices is a plus.
- Publications in top-tier AI conferences or journals are highly regarded.
This advertiser has chosen not to accept applicants from your region.
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